data comparison
pgvector vs Pinecone
Both are credible choices. The decision comes down to which property your workload actually depends on, and neither vendor pays us to say otherwise.
- pgvector
- Open source
- Pinecone
- Open source
- Category
- data
Side by side
pgvector
Vector search inside Postgres, no separate vector database to operate.
- Strongest at
- one database for relational and vector data, with transactions across both
- Trade-off
- at very large vector volumes a dedicated index outperforms it
- Vendor
- Open source
Pinecone
Managed vector database built for large-scale similarity search.
- Strongest at
- scales past where Postgres vector search starts to strain, with little operational work
- Trade-off
- another system, another bill, and no joins to your relational data
- Vendor
- Open source
How we would actually choose
Choose pgvector when one database for relational and vector data, with transactions across both is the property your workload depends on, and accept that at very large vector volumes a dedicated index outperforms it.
Choose Pinecone when scales past where Postgres vector search starts to strain, with little operational work matters more, accepting that another system, another bill, and no joins to your relational data.
In practice most production systems we build use both, routed by task. Standardising on one option for tidiness usually costs more than the tidiness is worth.
Orqent Labs holds no reseller commission on pgvector or Pinecone. We benchmark both on your workload and report what the numbers say.
Questions
pgvector or Pinecone, which should we use?
Pick pgvector when one database for relational and vector data, with transactions across both is what your workload depends on. Pick Pinecone when scales past where Postgres vector search starts to strain, with little operational work matters more. Most production systems we build end up using both for different tasks rather than standardising on one.
What is the catch with pgvector?
At very large vector volumes a dedicated index outperforms it.
What is the catch with Pinecone?
Another system, another bill, and no joins to your relational data.
Do you have a preference?
Not a fixed one, and we hold no reseller commission on either. We benchmark both on your actual workload and recommend from the result, which occasionally means recommending neither.
Where this choice comes up
Still deciding between pgvector and Pinecone?
Send us the workload. We will benchmark both and show you the numbers.
Or email bd@dtrasglobal.com · call +91 74118 77878